Overview

Dataset statistics

Number of variables27
Number of observations6912
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory216.0 B

Variable types

NUM21
CAT5
BOOL1

Warnings

case_id is highly correlated with df_indexHigh correlation
df_index is highly correlated with case_idHigh correlation
age_2016 is highly correlated with ageHigh correlation
age is highly correlated with age_2016High correlation
df_index has unique values Unique
case_id has unique values Unique
hgc_mother has 76 (1.1%) zeros Zeros
hgc_father has 120 (1.7%) zeros Zeros
major has 174 (2.5%) zeros Zeros
income_2016 has 1832 (26.5%) zeros Zeros
fam_net_worth has 603 (8.7%) zeros Zeros
ch_health_limit has 1103 (16.0%) zeros Zeros
fam_net_income has 210 (3.0%) zeros Zeros
marital has 1050 (15.2%) zeros Zeros

Reproduction

Analysis started2021-02-03 08:03:43.728964
Analysis finished2021-02-03 08:05:29.254354
Duration1 minute and 45.53 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct6912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5344.452546
Minimum1
Maximum12678
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:29.467284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile504.55
Q12538.75
median5065
Q37948.25
95-th percentile11666.6
Maximum12678
Range12677
Interquartile range (IQR)5409.5

Descriptive statistics

Standard deviation3328.338466
Coefficient of variation (CV)0.6227650891
Kurtosis-0.9109141143
Mean5344.452546
Median Absolute Deviation (MAD)2661.5
Skewness0.2955537234
Sum36940856
Variance11077836.94
MonotocityStrictly increasing
2021-02-03T03:05:29.728636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81961< 0.1%
 
6291< 0.1%
 
47511< 0.1%
 
67981< 0.1%
 
6531< 0.1%
 
27001< 0.1%
 
47431< 0.1%
 
6451< 0.1%
 
26921< 0.1%
 
67821< 0.1%
 
Other values (6902)690299.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
51< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
126781< 0.1%
 
126661< 0.1%
 
126621< 0.1%
 
126581< 0.1%
 
126471< 0.1%
 

case_id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct6912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5345.452546
Minimum2
Maximum12679
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:29.972570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile505.55
Q12539.75
median5066
Q37949.25
95-th percentile11667.6
Maximum12679
Range12677
Interquartile range (IQR)5409.5

Descriptive statistics

Standard deviation3328.338466
Coefficient of variation (CV)0.6226485854
Kurtosis-0.9109141143
Mean5345.452546
Median Absolute Deviation (MAD)2661.5
Skewness0.2955537234
Sum36947768
Variance11077836.94
MonotocityStrictly increasing
2021-02-03T03:05:30.185228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20491< 0.1%
 
67101< 0.1%
 
5971< 0.1%
 
46871< 0.1%
 
67341< 0.1%
 
5891< 0.1%
 
46791< 0.1%
 
26281< 0.1%
 
46711< 0.1%
 
67181< 0.1%
 
Other values (6902)690299.9%
 
ValueCountFrequency (%) 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
61< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
126791< 0.1%
 
126671< 0.1%
 
126631< 0.1%
 
126591< 0.1%
 
126481< 0.1%
 

age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.56409144
Minimum14
Maximum22
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:30.382353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14
Q116
median17
Q319
95-th percentile21
Maximum22
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.253491559
Coefficient of variation (CV)0.1283010606
Kurtosis-1.060070832
Mean17.56409144
Median Absolute Deviation (MAD)2
Skewness0.1381518795
Sum121403
Variance5.078224207
MonotocityNot monotonic
2021-02-03T03:05:30.522063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
1598414.2%
 
1896814.0%
 
1795313.8%
 
1695213.8%
 
1981611.8%
 
2174410.8%
 
2072010.4%
 
145998.7%
 
221762.5%
 
ValueCountFrequency (%) 
145998.7%
 
1598414.2%
 
1695213.8%
 
1795313.8%
 
1896814.0%
 
ValueCountFrequency (%) 
221762.5%
 
2174410.8%
 
2072010.4%
 
1981611.8%
 
1896814.0%
 

hgc_mother
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.81486026
Minimum0
Maximum20
Zeros76
Zeros (%)1.1%
Memory size54.0 KiB
2021-02-03T03:05:30.700706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median12
Q312
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.147313988
Coefficient of variation (CV)0.2910175363
Kurtosis1.654398428
Mean10.81486026
Median Absolute Deviation (MAD)1.130914295
Skewness-0.8700925225
Sum74752.31411
Variance9.905585339
MonotocityNot monotonic
2021-02-03T03:05:30.883480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
12253636.7%
 
116128.9%
 
105518.0%
 
10.86908574336.3%
 
84146.0%
 
93865.6%
 
163655.3%
 
143254.7%
 
62383.4%
 
132103.0%
 
Other values (12)84212.2%
 
ValueCountFrequency (%) 
0761.1%
 
1160.2%
 
2570.8%
 
31091.6%
 
41071.5%
 
ValueCountFrequency (%) 
20100.1%
 
1990.1%
 
18480.7%
 
17590.9%
 
163655.3%
 

hgc_father
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.90467495
Minimum0
Maximum20
Zeros120
Zeros (%)1.7%
Memory size54.0 KiB
2021-02-03T03:05:31.057229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median11
Q312
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.671350307
Coefficient of variation (CV)0.3366767304
Kurtosis1.066876792
Mean10.90467495
Median Absolute Deviation (MAD)1
Skewness-0.507521343
Sum75373.11324
Variance13.47881308
MonotocityNot monotonic
2021-02-03T03:05:31.237226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
12200229.0%
 
10.94742647104415.1%
 
164776.9%
 
84716.8%
 
104005.8%
 
113314.8%
 
93074.4%
 
143064.4%
 
62613.8%
 
71582.3%
 
Other values (12)115516.7%
 
ValueCountFrequency (%) 
01201.7%
 
1270.4%
 
2650.9%
 
31291.9%
 
41211.8%
 
ValueCountFrequency (%) 
20951.4%
 
19310.4%
 
181261.8%
 
17841.2%
 
164776.9%
 

sample_id
Real number (ℝ≥0)

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.006221065
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:31.429993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q311
95-th percentile14
Maximum20
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.643392695
Coefficient of variation (CV)0.6627528095
Kurtosis-1.268738049
Mean7.006221065
Median Absolute Deviation (MAD)4
Skewness0.2133219174
Sum48427
Variance21.56109572
MonotocityNot monotonic
2021-02-03T03:05:31.586717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
5161123.3%
 
1145521.1%
 
1383512.1%
 
1074710.8%
 
145237.6%
 
114766.9%
 
73054.4%
 
32483.6%
 
81592.3%
 
61432.1%
 
Other values (8)4105.9%
 
ValueCountFrequency (%) 
1145521.1%
 
21372.0%
 
32483.6%
 
41341.9%
 
5161123.3%
 
ValueCountFrequency (%) 
202< 0.1%
 
1940.1%
 
1840.1%
 
17200.3%
 
16520.8%
 

sample_race
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
3
3407 
2
2191 
1
1314 
ValueCountFrequency (%) 
3340749.3%
 
2219131.7%
 
1131419.0%
 
2021-02-03T03:05:32.392593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-02-03T03:05:32.515567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:32.675845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

sample_sex
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2
3586 
1
3326 
ValueCountFrequency (%) 
2358651.9%
 
1332648.1%
 
2021-02-03T03:05:32.824028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-02-03T03:05:32.916055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:33.048563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

pov_1980
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
0
4254 
0.2021668029
1539 
1
1119 
ValueCountFrequency (%) 
0425461.5%
 
0.2021668029153922.3%
 
1111916.2%
 
2021-02-03T03:05:33.199594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-02-03T03:05:33.305082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:33.421275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length3
Mean length6.5625
Min length3

asvab_math
Real number (ℝ≥0)

Distinct533
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.6306706
Minimum177
Maximum797
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:33.632877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile313
Q1404
median475.0400825
Q3535
95-th percentile639
Maximum797
Range620
Interquartile range (IQR)131

Descriptive statistics

Standard deviation98.87238576
Coefficient of variation (CV)0.2096394317
Kurtosis0.05913121182
Mean471.6306706
Median Absolute Deviation (MAD)66.0400825
Skewness0.1522112201
Sum3259911.195
Variance9775.748667
MonotocityNot monotonic
2021-02-03T03:05:33.841772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
475.04008254296.2%
 
477340.5%
 
491330.5%
 
420330.5%
 
435320.5%
 
474310.4%
 
486300.4%
 
399300.4%
 
446290.4%
 
437290.4%
 
Other values (523)620289.7%
 
ValueCountFrequency (%) 
1771< 0.1%
 
1801< 0.1%
 
1812< 0.1%
 
1831< 0.1%
 
1851< 0.1%
 
ValueCountFrequency (%) 
7972< 0.1%
 
7962< 0.1%
 
7941< 0.1%
 
7831< 0.1%
 
7711< 0.1%
 

asvab_word
Real number (ℝ≥0)

Distinct496
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean469.9116967
Minimum176
Maximum796
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:34.065926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum176
5-th percentile314
Q1401
median473
Q3535
95-th percentile653
Maximum796
Range620
Interquartile range (IQR)134

Descriptive statistics

Standard deviation99.52431485
Coefficient of variation (CV)0.211793653
Kurtosis-0.1300461309
Mean469.9116967
Median Absolute Deviation (MAD)67
Skewness0.1810439986
Sum3248029.648
Variance9905.089246
MonotocityNot monotonic
2021-02-03T03:05:34.280932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
475.07177424276.2%
 
674420.6%
 
405370.5%
 
400350.5%
 
423340.5%
 
456340.5%
 
411330.5%
 
681320.5%
 
488310.4%
 
493300.4%
 
Other values (486)617789.4%
 
ValueCountFrequency (%) 
1761< 0.1%
 
1801< 0.1%
 
1822< 0.1%
 
1832< 0.1%
 
1891< 0.1%
 
ValueCountFrequency (%) 
7961< 0.1%
 
7802< 0.1%
 
7481< 0.1%
 
73540.1%
 
7331< 0.1%
 

major
Real number (ℝ≥0)

ZEROS

Distinct211
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1220.282827
Minimum0
Maximum9996
Zeros174
Zeros (%)2.5%
Memory size54.0 KiB
2021-02-03T03:05:34.490214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile501
Q1901
median1233.85069
Q31233.85069
95-th percentile2105
Maximum9996
Range9996
Interquartile range (IQR)332.8506899

Descriptive statistics

Standard deviation1075.312638
Coefficient of variation (CV)0.8811995175
Kurtosis47.71008019
Mean1220.282827
Median Absolute Deviation (MAD)0
Skewness6.324402937
Sum8434594.899
Variance1156297.27
MonotocityNot monotonic
2021-02-03T03:05:34.738364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1233.85069391256.6%
 
5062453.5%
 
5011792.6%
 
01742.5%
 
5021462.1%
 
12031432.1%
 
7011251.8%
 
5141011.5%
 
9996761.1%
 
909751.1%
 
Other values (201)173625.1%
 
ValueCountFrequency (%) 
01742.5%
 
10170.1%
 
1021< 0.1%
 
10470.1%
 
1061< 0.1%
 
ValueCountFrequency (%) 
9996761.1%
 
99941< 0.1%
 
490350.1%
 
490260.1%
 
4901460.7%
 

max_degree
Real number (ℝ≥0)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.77981613
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:34.922279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.787832788
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)0.7878327884

Descriptive statistics

Standard deviation1.32198582
Coefficient of variation (CV)0.7427653888
Kurtosis7.287731324
Mean1.77981613
Median Absolute Deviation (MAD)0
Skewness2.497819464
Sum12302.08909
Variance1.747646509
MonotocityNot monotonic
2021-02-03T03:05:35.057373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
1391856.7%
 
1.787832788135719.6%
 
45718.3%
 
24246.1%
 
33895.6%
 
81121.6%
 
51101.6%
 
7270.4%
 
640.1%
 
ValueCountFrequency (%) 
1391856.7%
 
1.787832788135719.6%
 
24246.1%
 
33895.6%
 
45718.3%
 
ValueCountFrequency (%) 
81121.6%
 
7270.4%
 
640.1%
 
51101.6%
 
45718.3%
 

occup_2016
Real number (ℝ≥0)

Distinct404
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4245.218674
Minimum5
Maximum9990
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:35.267094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile220
Q12850
median4245.218674
Q35330
95-th percentile9130
Maximum9990
Range9985
Interquartile range (IQR)2480

Descriptive statistics

Standard deviation2382.358388
Coefficient of variation (CV)0.5611862594
Kurtosis-0.1154171575
Mean4245.218674
Median Absolute Deviation (MAD)1154.781326
Skewness0.225899676
Sum29342951.47
Variance5675631.488
MonotocityNot monotonic
2021-02-03T03:05:35.486624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4245.218674158923.0%
 
91301722.5%
 
4301442.1%
 
57001271.8%
 
42201221.8%
 
3130911.3%
 
3600891.3%
 
4700891.3%
 
10871.3%
 
4610871.3%
 
Other values (394)431562.4%
 
ValueCountFrequency (%) 
51< 0.1%
 
10871.3%
 
20470.7%
 
50360.5%
 
603< 0.1%
 
ValueCountFrequency (%) 
999040.1%
 
984060.1%
 
97503< 0.1%
 
97203< 0.1%
 
9640110.2%
 

css_worker
Real number (ℝ≥0)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.178147723
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:35.674851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32.178147723
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0.1781477229

Descriptive statistics

Standard deviation0.8251179498
Coefficient of variation (CV)0.3788163406
Kurtosis1.248158023
Mean2.178147723
Median Absolute Deviation (MAD)0.1781477229
Skewness1.012791249
Sum15055.35706
Variance0.680819631
MonotocityNot monotonic
2021-02-03T03:05:35.815115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
2290342.0%
 
2.178147723168624.4%
 
1110215.9%
 
470010.1%
 
34656.7%
 
5560.8%
 
ValueCountFrequency (%) 
1110215.9%
 
2290342.0%
 
2.178147723168624.4%
 
34656.7%
 
470010.1%
 
ValueCountFrequency (%) 
5560.8%
 
470010.1%
 
34656.7%
 
2.178147723168624.4%
 
2290342.0%
 

firm_size
Real number (ℝ≥0)

Distinct235
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1333.7936
Minimum1
Maximum99995
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:36.014814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q135
median400
Q31333.7936
95-th percentile2000
Maximum99995
Range99994
Interquartile range (IQR)1298.7936

Descriptive statistics

Standard deviation6719.365873
Coefficient of variation (CV)5.037785361
Kurtosis180.0775199
Mean1333.7936
Median Absolute Deviation (MAD)397
Skewness13.04553673
Sum9219181.363
Variance45149877.74
MonotocityNot monotonic
2021-02-03T03:05:36.230615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1333.7936253736.7%
 
1002143.1%
 
501752.5%
 
11742.5%
 
2001652.4%
 
301462.1%
 
3001462.1%
 
401271.8%
 
101251.8%
 
201211.8%
 
Other values (225)298243.1%
 
ValueCountFrequency (%) 
11742.5%
 
2791.1%
 
31061.5%
 
41041.5%
 
5871.3%
 
ValueCountFrequency (%) 
99995250.4%
 
800001< 0.1%
 
7000040.1%
 
680001< 0.1%
 
650001< 0.1%
 

unemp_2016
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
1
4081 
0
2831 
ValueCountFrequency (%) 
1408159.0%
 
0283141.0%
 
2021-02-03T03:05:36.361454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

income_2016
Real number (ℝ≥0)

ZEROS

Distinct656
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43395.67692
Minimum0
Maximum332954
Zeros1832
Zeros (%)26.5%
Memory size54.0 KiB
2021-02-03T03:05:36.482884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median31000
Q359000
95-th percentile133000
Maximum332954
Range332954
Interquartile range (IQR)59000

Descriptive statistics

Standard deviation56850.92859
Coefficient of variation (CV)1.310059725
Kurtosis11.82603787
Mean43395.67692
Median Absolute Deviation (MAD)30273.5
Skewness2.986494725
Sum299950918.9
Variance3232028082
MonotocityNot monotonic
2021-02-03T03:05:36.711741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0183226.5%
 
43395.676922824.1%
 
300001572.3%
 
400001502.2%
 
3329541442.1%
 
500001261.8%
 
600001141.6%
 
250001091.6%
 
450001051.5%
 
350001001.4%
 
Other values (646)379354.9%
 
ValueCountFrequency (%) 
0183226.5%
 
13< 0.1%
 
91< 0.1%
 
101< 0.1%
 
311< 0.1%
 
ValueCountFrequency (%) 
3329541442.1%
 
1995001< 0.1%
 
1990001< 0.1%
 
1980001< 0.1%
 
1940002< 0.1%
 

fam_net_worth
Real number (ℝ≥0)

ZEROS

Distinct2980
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423345.8911
Minimum0
Maximum5526252
Zeros603
Zeros (%)8.7%
Memory size54.0 KiB
2021-02-03T03:05:36.931121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133075
median235150
Q3423345.8911
95-th percentile1500726.65
Maximum5526252
Range5526252
Interquartile range (IQR)390270.8911

Descriptive statistics

Standard deviation802878.7071
Coefficient of variation (CV)1.896507617
Kurtosis26.13216935
Mean423345.8911
Median Absolute Deviation (MAD)188195.8911
Skewness4.780753517
Sum2926166799
Variance6.446142183e+11
MonotocityNot monotonic
2021-02-03T03:05:37.118620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
423345.8911153322.2%
 
06038.7%
 
55262521191.7%
 
2000380.5%
 
5000360.5%
 
1000350.5%
 
4000250.4%
 
6000250.4%
 
3000250.4%
 
10000220.3%
 
Other values (2970)445164.4%
 
ValueCountFrequency (%) 
06038.7%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
55262521191.7%
 
31325001< 0.1%
 
31290001< 0.1%
 
31284091< 0.1%
 
31197891< 0.1%
 

ch_health_limit
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.59770959
Minimum0
Maximum100
Zeros1103
Zeros (%)16.0%
Memory size54.0 KiB
2021-02-03T03:05:37.350155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q360
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation33.70671493
Coefficient of variation (CV)0.8302614918
Kurtosis-1.031030002
Mean40.59770959
Median Absolute Deviation (MAD)30
Skewness0.4667355731
Sum280611.3687
Variance1136.142631
MonotocityNot monotonic
2021-02-03T03:05:37.534450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
50129918.8%
 
0110316.0%
 
10089212.9%
 
1086612.5%
 
206078.8%
 
803775.5%
 
303505.1%
 
402253.3%
 
251872.7%
 
601862.7%
 
Other values (29)82011.9%
 
ValueCountFrequency (%) 
0110316.0%
 
1400.6%
 
2170.2%
 
390.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
10089212.9%
 
9970.1%
 
981< 0.1%
 
971< 0.1%
 
95180.3%
 

fam_size
Real number (ℝ≥0)

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.380353009
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:37.688438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum13
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.319195456
Coefficient of variation (CV)0.5542016041
Kurtosis3.207504651
Mean2.380353009
Median Absolute Deviation (MAD)1
Skewness1.375227509
Sum16453
Variance1.740276652
MonotocityNot monotonic
2021-02-03T03:05:37.884546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
2251936.4%
 
1188727.3%
 
3127518.4%
 
475110.9%
 
53054.4%
 
61041.5%
 
7410.6%
 
8200.3%
 
940.1%
 
112< 0.1%
 
Other values (3)40.1%
 
ValueCountFrequency (%) 
1188727.3%
 
2251936.4%
 
3127518.4%
 
475110.9%
 
53054.4%
 
ValueCountFrequency (%) 
131< 0.1%
 
121< 0.1%
 
112< 0.1%
 
102< 0.1%
 
940.1%
 

fam_net_income
Real number (ℝ≥0)

ZEROS

Distinct2489
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91078.70984
Minimum0
Maximum922631
Zeros210
Zeros (%)3.0%
Memory size54.0 KiB
2021-02-03T03:05:38.057806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2654.4
Q130000
median70898
Q398000
95-th percentile228045
Maximum922631
Range922631
Interquartile range (IQR)68000

Descriptive statistics

Standard deviation127057.5076
Coefficient of variation (CV)1.395029726
Kurtosis29.66085923
Mean91078.70984
Median Absolute Deviation (MAD)36898
Skewness5.023482013
Sum629536042.4
Variance1.614361024e+10
MonotocityNot monotonic
2021-02-03T03:05:38.258954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
91078.7098493613.5%
 
02103.0%
 
9226311221.8%
 
30000721.0%
 
60000691.0%
 
40000681.0%
 
50000580.8%
 
45000540.8%
 
100000480.7%
 
25000480.7%
 
Other values (2479)522775.6%
 
ValueCountFrequency (%) 
02103.0%
 
251< 0.1%
 
311< 0.1%
 
361< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
9226311221.8%
 
35000040.1%
 
3480001< 0.1%
 
3470001< 0.1%
 
3450001< 0.1%
 

fam_pov
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
0
4958 
1
1018 
0.1703480589
936 
ValueCountFrequency (%) 
0495871.7%
 
1101814.7%
 
0.170348058993613.5%
 
2021-02-03T03:05:38.486936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-02-03T03:05:38.625149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:38.742367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length3
Mean length5.166666667
Min length3

region
Real number (ℝ≥0)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.67810219
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:38.933877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9467989256
Coefficient of variation (CV)0.3535335318
Kurtosis-0.7596751435
Mean2.67810219
Median Absolute Deviation (MAD)1
Skewness-0.3461576985
Sum18511.04234
Variance0.8964282055
MonotocityNot monotonic
2021-02-03T03:05:39.083903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3296342.9%
 
2153722.2%
 
4134419.4%
 
1100614.6%
 
2.67810219620.9%
 
ValueCountFrequency (%) 
1100614.6%
 
2153722.2%
 
2.67810219620.9%
 
3296342.9%
 
4134419.4%
 
ValueCountFrequency (%) 
4134419.4%
 
3296342.9%
 
2.67810219620.9%
 
2153722.2%
 
1100614.6%
 

marital
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.53587963
Minimum0
Maximum6
Zeros1050
Zeros (%)15.2%
Memory size54.0 KiB
2021-02-03T03:05:39.217416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316343282
Coefficient of variation (CV)0.8570614891
Kurtosis2.417756092
Mean1.53587963
Median Absolute Deviation (MAD)0
Skewness1.446602382
Sum10616
Variance1.732759637
MonotocityNot monotonic
2021-02-03T03:05:39.343368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1369253.4%
 
3158823.0%
 
0105015.2%
 
23334.8%
 
62493.6%
 
ValueCountFrequency (%) 
0105015.2%
 
1369253.4%
 
23334.8%
 
3158823.0%
 
62493.6%
 
ValueCountFrequency (%) 
62493.6%
 
3158823.0%
 
23334.8%
 
1369253.4%
 
0105015.2%
 

urban_rural
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
1
5332 
0
1430 
2
 
88
0.8040875912
 
62
ValueCountFrequency (%) 
1533277.1%
 
0143020.7%
 
2881.3%
 
0.8040875912620.9%
 
2021-02-03T03:05:39.509345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-02-03T03:05:39.629804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:39.762102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length18
Median length3
Mean length3.134548611
Min length3

age_2016
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.56409144
Minimum51
Maximum59
Zeros0
Zeros (%)0.0%
Memory size54.0 KiB
2021-02-03T03:05:39.938357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile51
Q153
median54
Q356
95-th percentile58
Maximum59
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.253491559
Coefficient of variation (CV)0.04129990072
Kurtosis-1.060070832
Mean54.56409144
Median Absolute Deviation (MAD)2
Skewness0.1381518795
Sum377147
Variance5.078224207
MonotocityNot monotonic
2021-02-03T03:05:40.071864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
5298414.2%
 
5596814.0%
 
5495313.8%
 
5395213.8%
 
5681611.8%
 
5874410.8%
 
5772010.4%
 
515998.7%
 
591762.5%
 
ValueCountFrequency (%) 
515998.7%
 
5298414.2%
 
5395213.8%
 
5495313.8%
 
5596814.0%
 
ValueCountFrequency (%) 
591762.5%
 
5874410.8%
 
5772010.4%
 
5681611.8%
 
5596814.0%
 

Interactions

2021-02-03T03:03:50.783349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:51.015976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:51.178586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:51.345554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:51.517902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:51.690606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.054411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.215309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.377492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.538148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.703848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:52.868228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.039457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.201718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.369453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.529656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.689965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:53.852732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.006528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.167897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.325855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.493259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.656161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.823680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:54.990641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.162538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.331139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.497128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.668709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.837329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:55.996716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.164532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.320317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.489180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.657536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.833773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:56.993230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.152510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.307283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.461066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.622563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.781019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:57.954674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:58.126477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:58.297723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:58.476082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:58.660589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:58.845080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:59.020194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:59.398557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:59.573101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:59.765659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:03:59.947123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:00.120343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:00.299007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:00.467258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:00.641812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:00.880092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.048619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.224690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.393681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.569785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.747874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:01.966301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-02-03T03:04:45.319511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:45.646369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:45.960732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:46.210115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:46.396710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:46.589158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:46.769253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:46.953145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:47.276483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:47.688101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:47.978447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:48.424000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:48.665627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:48.868049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:49.083681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:49.260968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:49.441885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:49.632778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:49.805888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:50.034639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:50.195049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:50.556466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:50.954568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:51.210931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:51.386209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:51.565701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:51.732876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:51.943756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:52.370979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:52.863768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:53.267976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:53.542815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:53.738261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:53.928973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:54.210486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:54.594769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:54.915123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:55.164456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:55.405850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:55.605703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:55.920852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:56.107466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:56.294100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:56.467350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:56.652011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:56.842260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.026371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.218651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.404503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.601767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.780601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:57.973410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:58.327827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:58.620072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:58.904112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:59.143524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:59.351680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:59.582556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:04:59.926723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:00.209794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:00.466146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:00.746194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:00.966276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:01.162950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:01.347811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:01.532702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:01.719741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:01.905475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:02.083225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:02.260849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:02.458858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:02.678546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:02.891055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:03.081502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:03.276213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:03.472353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:03.669890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:03.868106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:04.061727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:04.822489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:05.416595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:05.734966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:05.991704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:06.231124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:06.446053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:06.644874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:06.845731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:07.037741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:07.227292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:07.431749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:07.629237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:07.847872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:08.043023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:08.235920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:08.436359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:08.640471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:08.846767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:09.069407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:09.426531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:09.686492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:09.898622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:10.080364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:10.262777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:10.455123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:10.635475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:10.824897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:11.031011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:11.348125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:11.618972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:11.844499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:12.124882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:12.420965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:12.679633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:13.014989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:13.296846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:13.661800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:13.873895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:14.078980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:14.339775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:14.535324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:14.729779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:14.962440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-02-03T03:05:15.358700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:15.586857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:15.975823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:16.267293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:16.539886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:16.789657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:17.036398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:17.233133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:17.430337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:17.630974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:17.849394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:18.052709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:18.255178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-02-03T03:05:18.671796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:18.894717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:19.092701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:19.300226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:19.495676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:19.685620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:19.891194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:20.109245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-02-03T03:05:20.968616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:21.493199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:22.006017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:22.223598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:22.447171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:22.661629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:22.860612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:23.030711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:23.221470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:23.430906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:23.644569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:23.860617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:24.130239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:24.319292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:24.515834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:24.714748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:24.897341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:25.094817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:25.284420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:25.454299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:25.665258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:25.859208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.035198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.225759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.404220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.574938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.756061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:26.959766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:27.144092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-02-03T03:05:40.290184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-02-03T03:05:40.739484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-02-03T03:05:41.204836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-02-03T03:05:41.676731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-02-03T03:05:42.081693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-02-03T03:05:27.640589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-03T03:05:28.974848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

df_indexcase_idagehgc_motherhgc_fathersample_idsample_racesample_sexpov_1980asvab_mathasvab_wordmajormax_degreeoccup_2016css_workerfirm_sizeunemp_2016income_2016fam_net_worthch_health_limitfam_sizefam_net_incomefam_povregionmaritalurban_ruralage_2016
012205.08.05320.000000377.000000369.0000001233.850691.0000004020.0000001.000000300.00001.023000.04.233459e+0540.597714.091078.7098390.1703481.01.01.057
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